correction_kernel: Correction Kernel

In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model

Correction Kernel

Description

Function to determine if the augmented ranking is compatible with the new observed partial ranking. If it is not, the we create a new augmentation using the random sampling approach and calculate the augmentation probability.

Usage

correction_kernel(observed_ranking, current_ranking, n_items)

Arguments

observed_ranking	A ranking sequence vector of the observed partial ranking (no missing values) The original incomplete partial ranking is in the rankings data set.
current_ranking	A ranking sequence vector of the current augmented ranking (no missing values)
n_items	Integer is the number of items in a ranking

Value

List containing the proposed 'corrected' augmented ranking that is compatible with the new observed ranking for a user

BayesMallows documentation built on Nov. 25, 2023, 5:09 p.m.